Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (High)
71
GPT-5.4 mini
72
Verified leaderboard positions: DeepSeek V4 Flash (High) #19 · GPT-5.4 mini unranked
Pick GPT-5.4 mini if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Agentic
+10.2 difference
Knowledge
+0.2 difference
DeepSeek V4 Flash (High)
GPT-5.4 mini
$0.14 / $0.28
$0.75 / $4.5
N/A
201 t/s
N/A
3.85s
1M
400K
Pick GPT-5.4 mini if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-5.4 mini finishes one point ahead on BenchLM's provisional leaderboard, 72 to 71. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.6 against 55.4. The single biggest benchmark swing on the page is HLE, 29.4% to 41.5%.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (High). That is roughly 16.1x on output cost alone. DeepSeek V4 Flash (High) gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 72 to 71. The biggest single separator in this matchup is HLE, where the scores are 29.4% and 41.5%.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 57.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 55.4. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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